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ICRA
1995
IEEE
123views Robotics» more  ICRA 1995»
15 years 10 months ago
Vision-Based Reinforcement Learning for Purposive Behavior Acquisition
This paper presents a method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal, and discusses several issues in applying the reinforcement...
Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida, ...
NIPS
1992
15 years 7 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
EVOW
2010
Springer
16 years 1 months ago
Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search
Monte Carlo Tree Search is a recent algorithm that achieves more and more successes in various domains. We propose an improvement of the Monte Carlo part of the algorithm by modify...
Arpad Rimmel, Fabien Teytaud
WSC
2007
15 years 9 months ago
What I wish they would have taught me (or that I would have better remembered!) in school
This panel reflects upon their experiences as simulation professionals and shares their thoughts regarding elements of their simulation education that they have found most helpful...
Charles R. Standridge, Daniel A. Finke, Carley Jur...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 7 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood